code: def exp_test_data(self):
      data = [
          dict(
              tangent_vec=gs.array([[-1.0, 0.0], [2.0, 3.0]]),
              base_point=gs.array([[1.0, 0.0], [2.0, 2.0]]),
              expected=gs.array(
                  [[1 / EULER, 0.0], [4.0, 2 * gs.exp(1.5)]]
              ),
          ),
          dict(
              tangent_vec=gs.array(
                  [[[0.0, 0.0], [2.0, 0.0]], [[1.0, 0.0], [0.0, 0.0]]]
              ),
              base_point=gs.array(
                  [[[1.0, 0.0], [2.0, 2.0]], [[1.0, 0.0], [0.0, 2.0]]]
              ),
              expected=gs.array(
                  [
                      [[1.0, 0.0], [4.0, 2.0]],
                      [[gs.exp(1.0), 0.0], [0.0, 2.0]],
                  ]
              ),
          ),
      ]
      return self.generate_tests(data)
  
imports: import math
  import geomstats.backend
  from geomstats.test.data import TestData
  from .base import VectorSpaceOpenSetTestData
  from .invariant_metric import InvariantMetricMatrixTestData
  from .lie_group import MatrixLieGroupTestData
  from .pullback_metric import PullbackDiffeoMetricTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 4 for calling the CholeskyMetric2TestData obj's underlying member method code with example usage: obj.exp_test_data() and returns: self